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早期和晚期药物研发中的化合物优化:利用物理化学、体外和体内筛选相结合的方法获得可接受的药代动力学性质

Compound optimization in early- and late-phase drug discovery: acceptable pharmacokinetic properties utilizing combined physicochemical, in vitro and in vivo screens.

作者信息

Caldwell G W

机构信息

The RW Johnson Pharmaceutical Research Institute, Drug Discovery Department, Welsh and McKean Roads, Spring House, PA 19477, USA.

出版信息

Curr Opin Drug Discov Devel. 2000 Jan;3(1):30-41.

Abstract

New chemical entities (NCEs) are abandoned in development primarily because of insufficient efficacy, safety issues and for economic reasons. Since efficacy and safety deficiencies are related in part to pharmacokinetics (PK), uncovering PK defects as early in drug discovery as possible would be highly valuable in reducing NCE failures in preclinical and clinical development. In this review, a strategy is put forth to integrate drug metabolism/pharmacokinetics and toxicology functions into drug discovery. Compound optimization in early- and late-phase drug discovery is covered, emphasizing physicochemical properties, in vitro absorption, metabolism and in vivo animal PK methodologies, primarily from the period 1998 to 1999. The present study also illustrates the idea of sorting oral bioavailability data into high/intermediate/low categories based on combining high/low rank-ordered information from physicochemical properties and in vitro absorption, metabolism and serum binding assays. It is shown that by combining the results from solubility, stability, absorption and metabolism assays, the high/intermediate/low human oral bioavailability for a series of beta- blockers can be approximately predicted. This method has a high sample throughput and should be useful in rank-ordering the predicted oral bioavailability of large collections of compounds at the lead optimization step of drug discovery. These results are useful for selecting compounds for future in vitro/in vivo correlation modeling or in vivo animal testing. This type of approach will improve the decision making process of compound selection in drug discovery.

摘要

新化学实体(NCEs)在研发过程中被放弃主要是因为疗效不足、安全问题以及经济原因。由于疗效和安全性缺陷部分与药代动力学(PK)相关,因此在药物发现过程中尽早发现PK缺陷对于减少临床前和临床研发中NCEs的失败具有极高价值。在本综述中,提出了一种将药物代谢/药代动力学和毒理学功能整合到药物发现中的策略。涵盖了早期和晚期药物发现中的化合物优化,重点强调物理化学性质、体外吸收、代谢以及体内动物PK方法,主要涉及1998年至1999年期间。本研究还阐述了基于物理化学性质以及体外吸收、代谢和血清结合试验的高/低排序信息,将口服生物利用度数据分为高/中/低类别这一理念。结果表明,通过结合溶解度、稳定性、吸收和代谢试验的结果,可以大致预测一系列β受体阻滞剂的高/中/低人源口服生物利用度。该方法具有高通量样本处理能力,在药物发现的先导优化阶段对大量化合物的预测口服生物利用度进行排序时应会很有用。这些结果有助于为未来的体外/体内相关性建模或体内动物试验选择化合物。这种方法将改善药物发现中化合物选择的决策过程。

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